Image de couverture de livre

Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Blais, Antoine, Couëllan, Nicolas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Signal Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications
par: Collas, Antoine, et autres
Publié: (2024)

Solving ill-conditioned polynomial equations using score-based priors with application to multi-target detection
par: Beinhorn, Rafi, et autres
Publié: (2025)

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
par: Pollastro, Andrea, et autres
Publié: (2024)

Anomaly detection by partitioning of multi-variate time series
par: Lotte, Pierre, et autres
Publié: (2025)

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
par: Del Pup, Federico, et autres
Publié: (2025)

Self-supervised New Activity Detection in Sensor-based Smart Environments
par: Kim, Hyunju, et autres
Publié: (2024)

Multi-task deep-learning for sleep event detection and stage classification
par: Anido-Alonso, Adriana, et autres
Publié: (2025)

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry
par: Collas, Antoine, et autres
Publié: (2025)

First path component power based NLOS mitigation in UWB positioning system
par: Kolakowski, Marcin, et autres
Publié: (2024)

Towards Simple Machine Learning Baselines for GNSS RFI Detection
par: Ivanov, Viktor, et autres
Publié: (2025)

Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
par: Coppens, Dieter, et autres
Publié: (2024)

Graph Distribution-valued Signals: A Wasserstein Space Perspective
par: Zhao, Yanan, et autres
Publié: (2025)

Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation
par: Zhu, Xiangqian, et autres
Publié: (2024)

Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
par: Moutonnet, Nina, et autres
Publié: (2024)

GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks
par: Jalalirad, Amir, et autres
Publié: (2024)

A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
par: Michalakopoulos, Vasilis, et autres
Publié: (2024)

Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
par: Shama, Deeksha M., et autres
Publié: (2024)

SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG
par: Akama, Taketo, et autres
Publié: (2025)

Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
par: Corponi, Filippo, et autres
Publié: (2023)

FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals
par: Ranasinghe, Nisal, et autres
Publié: (2025)

Network architecture search of X-ray based scientific applications
par: Balaji, Adarsha, et autres
Publié: (2024)

Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
par: Sechaud, Victor, et autres
Publié: (2024)

Measuring Dependencies between Biological Signals with Self-supervision, and its Limitations
par: Sariyanidi, Evangelos, et autres
Publié: (2025)

Deep learning based ECG segmentation for delineation of diverse arrhythmias
par: Joung, Chankyu, et autres
Publié: (2023)

Model-based learning for multi-antenna multi-frequency location-to-channel mapping
par: Chatelier, Baptiste, et autres
Publié: (2024)

Model-based learning for joint channel estimationand hybrid MIMO precoding
par: Klaimi, Nay, et autres
Publié: (2025)

A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals
par: Brüsch, Thea, et autres
Publié: (2024)

Post-processing of EEG-based Auditory Attention Decoding Decisions via Hidden Markov Models
par: Heintz, Nicolas, et autres
Publié: (2025)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
par: Moulaeifard, Mohammad, et autres
Publié: (2025)

Assessing the importance of long-range correlations for deep-learning-based sleep staging
par: Wang, Tiezhi, et autres
Publié: (2024)

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
par: Foumani, Navid Mohammadi, et autres
Publié: (2024)

Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
par: Moulaeifard, Mohammad, et autres
Publié: (2025)

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
par: Alcaraz, Juan Miguel Lopez, et autres
Publié: (2024)

On the analysis of saturated pressure to detect fatigue
par: Faundez-Zanuy, Marcos, et autres
Publié: (2024)

A Self-supervised Learning Method for Raman Spectroscopy based on Masked Autoencoders
par: Ren, Pengju, et autres
Publié: (2025)

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
par: Bussalb, Aurore, et autres
Publié: (2025)

Meal-taking activity monitoring in the elderly based on sensor data: Comparison of unsupervised classification methods
par: Derouiche, Abderrahim, et autres
Publié: (2024)

Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
par: Zhou, Maoxuan, et autres
Publié: (2024)

S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
par: Wang, Tiezhi, et autres
Publié: (2023)

Unsupervised learning based end-to-end delayless generative fixed-filter active noise control
par: Luo, Zhengding, et autres
Publié: (2024)